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Development of a multivariate prediction model of intensive care unit transfer or death: A French prospective cohort study of hospitalized COVID-19 patients.
Allenbach, Yves; Saadoun, David; Maalouf, Georgina; Vieira, Matheus; Hellio, Alexandra; Boddaert, Jacques; Gros, Hélène; Salem, Joe Elie; Resche Rigon, Matthieu; Menyssa, Cherifa; Biard, Lucie; Benveniste, Olivier; Cacoub, Patrice.
  • Allenbach Y; Department of Internal Medicine and Clinical Immunology, Centre National de Références Maladies Autoimmunes et Systémiques Rares Maladies Autoinflammatoires Rares et des Myopathies Inflammatoires, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Sorbonne University, Paris, France.
  • Saadoun D; Department of Internal Medicine and Clinical Immunology, Centre National de Références Maladies Autoimmunes et Systémiques Rares Maladies Autoinflammatoires Rares et des Myopathies Inflammatoires, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Sorbonne University, Paris, France.
  • Maalouf G; Department of Internal Medicine and Clinical Immunology, Centre National de Références Maladies Autoimmunes et Systémiques Rares Maladies Autoinflammatoires Rares et des Myopathies Inflammatoires, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Sorbonne University, Paris, France.
  • Vieira M; Department of Internal Medicine and Clinical Immunology, Centre National de Références Maladies Autoimmunes et Systémiques Rares Maladies Autoinflammatoires Rares et des Myopathies Inflammatoires, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Sorbonne University, Paris, France.
  • Hellio A; Department of Internal Medicine and Clinical Immunology, Centre National de Références Maladies Autoimmunes et Systémiques Rares Maladies Autoinflammatoires Rares et des Myopathies Inflammatoires, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Sorbonne University, Paris, France.
  • Boddaert J; Department of Geriatrics, Sorbonne Université, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Paris, France.
  • Gros H; Robert-Ballanger Hospital, Aulnay-sous-Bois, France.
  • Salem JE; Department of Pharmacology and Clinical Investigation Center, Sorbonne Université, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, CIC Pitié-Salpêtrière (CIC-1901), Paris, France.
  • Resche Rigon M; Department of Biostatistics and Medical Information, AP-HP Saint-Louis University Hospital; ECSTRRA Team, CRESS UMR 1153, INSERM, University of Paris, Paris, France.
  • Menyssa C; Department of Biostatistics and Medical Information, AP-HP Saint-Louis University Hospital; ECSTRRA Team, CRESS UMR 1153, INSERM, University of Paris, Paris, France.
  • Biard L; Department of Biostatistics and Medical Information, AP-HP Saint-Louis University Hospital; ECSTRRA Team, CRESS UMR 1153, INSERM, University of Paris, Paris, France.
  • Benveniste O; Department of Internal Medicine and Clinical Immunology, Centre National de Références Maladies Autoimmunes et Systémiques Rares Maladies Autoinflammatoires Rares et des Myopathies Inflammatoires, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Sorbonne University, Paris, France.
  • Cacoub P; Department of Internal Medicine and Clinical Immunology, Centre National de Références Maladies Autoimmunes et Systémiques Rares Maladies Autoinflammatoires Rares et des Myopathies Inflammatoires, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Sorbonne University, Paris, France.
PLoS One ; 15(10): e0240711, 2020.
Article in English | MEDLINE | ID: covidwho-874200
ABSTRACT
Prognostic factors of coronavirus disease 2019 (COVID-19) patients among European population are lacking. Our objective was to identify early prognostic factors upon admission to optimize the management of COVID-19 patients hospitalized in a medical ward. This French single-center prospective cohort study evaluated 152 patients with positive severe acute respiratory syndrome coronavirus 2 real-time reverse transcriptase-polymerase chain reaction assay, hospitalized in the Internal Medicine and Clinical Immunology Department, at Pitié-Salpêtrière's Hospital, in Paris, France, a tertiary care university hospital. Predictive factors of intensive care unit (ICU) transfer or death at day 14 (D14), of being discharge alive and severe status at D14 (remaining with ventilation, or death) were evaluated in multivariable logistic regression models; models' performances, including discrimination and calibration, were assessed (C-index, calibration curve, R2, Brier score). A validation was performed on an external sample of 132 patients hospitalized in a French hospital close to Paris, in Aulnay-sous-Bois, Île-de-France. The probability of ICU transfer or death was 32% (47/147) (95% CI 25-40). Older age (OR 2.61, 95% CI 0.96-7.10), poorer respiratory presentation (OR 4.04 per 1-point increment on World Health Organization (WHO) clinical scale, 95% CI 1.76-9.25), higher CRP-level (OR 1.63 per 100mg/L increment, 95% CI 0.98-2.71) and lower lymphocytes count (OR 0.36 per 1000/mm3 increment, 95% CI 0.13-0.99) were associated with an increased risk of ICU requirement or death. A 9-point ordinal scale scoring system defined low (score 0-2), moderate (score 3-5), and high (score 6-8) risk patients, with predicted respectively 2%, 25% and 81% risk of ICU transfer or death at D14. Therefore, in this prospective cohort study of laboratory-confirmed COVID-19 patients hospitalized in a medical ward in France, a simplified scoring system at admission predicted the outcome at D14.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Patient Transfer / Hospital Mortality / Coronavirus Infections / Forecasting / Betacoronavirus / Hospitalization / Intensive Care Units Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0240711

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Patient Transfer / Hospital Mortality / Coronavirus Infections / Forecasting / Betacoronavirus / Hospitalization / Intensive Care Units Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0240711